Mineral classification from quantitative X-ray maps using neural network; application to volcanic rocks

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doi: 10.1111/j.1440-1738.2009.00682.x
Author(s): Tsuji, Takeshi; Yamaguchi, Haruka; Ishii, Teruaki; Matsuoka, Toshifumi
Author Affiliation(s): Primary:
Kyoto University, Department of Civil and Earth Resources Engineering, Kyoto, Japan
Other:
Okayama University, Japan
Japan Agency for Marine-Earth Science and Technology, Japan
Volume Title: Island Arc
Source: Island Arc, 19(1), p.105-119. Publisher: Wiley Blackwell on behalf of Geological Society of Japan, Tsukuba, Japan. ISSN: 1038-4871
Note: In English. 24 refs.; illus., incl. 3 plates, 2 tables, sketch map
Summary: We developed a mineral classification technique of electron probe microanalyzer (EPMA) maps in order to reveal the mineral textures and compositions of volcanic rocks. In the case of lithologies such as basalt that include several kinds of minerals, X-ray intensities of several elements derived from EPMA must be considered simultaneously to determine the mineral map. In this research, we used a Kohonen self-organizing map (SOM) to classify minerals in the thin-sections from several X-ray intensity maps. The SOM is a type of artificial neural network that is trained using unsupervised training to produce a two-dimensional representation of multi-dimensional input data. The classified mineral maps of in situ oceanic basalts of the Juan de Fuca Plate allowed us to quantify mineralogical and textural differences among the marginal and central parts of the pillow basalts and the massive flow basalt. One advantage of mineral classification using a SOM is that relatively many minerals can be estimated from limited input elements. By applying our method to altered basalt which contains multiple minerals, we successfully classify eight minerals in thin-section. Abstract Copyright (2010), Blackwell Publishing Asia Pty Ltd.
Year of Publication: 2010
Research Program: IODP Integrated Ocean Drilling Program
Key Words: 01 Mineralogy and Crystallography; 05 Petrology, Igneous and Metamorphic; Applications; Basalts; Chain silicates; Chemical composition; Classification; Clay minerals; Clinopyroxene; East Pacific; Electron probe data; Endeavour Ridge; Expedition 301; Feldspar group; Framework silicates; Glasses; IODP Site U1301; Igneous rocks; Integrated Ocean Drilling Program; Juan de Fuca Ridge; Lava; Magnetite; Major elements; Mapping; Mineral composition; Neural networks; North Pacific; Northeast Pacific; Oxides; Pacific Ocean; Pillow lava; Plagioclase; Porosity; Pyroxene group; Quantitative analysis; Self-organization; Sheet silicates; Silicates; Thin sections; Volcanic glass; Volcanic rocks; X-ray data
Coordinates: N474500 N474600 W1274600 W1274600
Record ID: 2012093210
Copyright Information: GeoRef, Copyright 2019 American Geosciences Institute. Reference includes data from John Wiley & Sons, Chichester, United Kingdom
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100 1 |a Tsuji, Takeshi  |u Kyoto University, Department of Civil and Earth Resources Engineering, Kyoto 
245 1 0 |a Mineral classification from quantitative X-ray maps using neural network; application to volcanic rocks 
300 |a p. 105-119 
500 |a In English. 24 refs. 
500 |a Research program: IODP Integrated Ocean Drilling Program 
500 |a Affiliation: Kyoto University, Department of Civil and Earth Resources Engineering; Kyoto; JPN; Japan 
500 |a Affiliation: Okayama University; ; JPN; Japan 
500 |a Affiliation: Japan Agency for Marine-Earth Science and Technology; ; JPN; Japan 
500 |a Source note: Island Arc, 19(1), p.105-119. Publisher: Wiley Blackwell on behalf of Geological Society of Japan, Tsukuba, Japan. ISSN: 1038-4871 
500 |a Publication type: journal article 
504 |b 24 refs. 
510 3 |a GeoRef, Copyright 2019 American Geosciences Institute. Reference includes data from John Wiley & Sons, Chichester, United Kingdom 
520 |a We developed a mineral classification technique of electron probe microanalyzer (EPMA) maps in order to reveal the mineral textures and compositions of volcanic rocks. In the case of lithologies such as basalt that include several kinds of minerals, X-ray intensities of several elements derived from EPMA must be considered simultaneously to determine the mineral map. In this research, we used a Kohonen self-organizing map (SOM) to classify minerals in the thin-sections from several X-ray intensity maps. The SOM is a type of artificial neural network that is trained using unsupervised training to produce a two-dimensional representation of multi-dimensional input data. The classified mineral maps of in situ oceanic basalts of the Juan de Fuca Plate allowed us to quantify mineralogical and textural differences among the marginal and central parts of the pillow basalts and the massive flow basalt. One advantage of mineral classification using a SOM is that relatively many minerals can be estimated from limited input elements. By applying our method to altered basalt which contains multiple minerals, we successfully classify eight minerals in thin-section. Abstract Copyright (2010), Blackwell Publishing Asia Pty Ltd. 
650 7 |a Applications  |2 georeft 
650 7 |a Basalts  |2 georeft 
650 7 |a Chain silicates  |2 georeft 
650 7 |a Chemical composition  |2 georeft 
650 7 |a Classification  |2 georeft 
650 7 |a Clay minerals  |2 georeft 
650 7 |a Clinopyroxene  |2 georeft 
650 7 |a Electron probe data  |2 georeft 
650 7 |a Feldspar group  |2 georeft 
650 7 |a Framework silicates  |2 georeft 
650 7 |a Glasses  |2 georeft 
650 7 |a Igneous rocks  |2 georeft 
650 7 |a Integrated Ocean Drilling Program  |2 georeft 
650 7 |a Lava  |2 georeft 
650 7 |a Magnetite  |2 georeft 
650 7 |a Major elements  |2 georeft 
650 7 |a Mapping  |2 georeft 
650 7 |a Mineral composition  |2 georeft 
650 7 |a Neural networks  |2 georeft 
650 7 |a Oxides  |2 georeft 
650 7 |a Pillow lava  |2 georeft 
650 7 |a Plagioclase  |2 georeft 
650 7 |a Porosity  |2 georeft 
650 7 |a Pyroxene group  |2 georeft 
650 7 |a Quantitative analysis  |2 georeft 
650 7 |a Self-organization  |2 georeft 
650 7 |a Sheet silicates  |2 georeft 
650 7 |a Silicates  |2 georeft 
650 7 |a Thin sections  |2 georeft 
650 7 |a Volcanic glass  |2 georeft 
650 7 |a Volcanic rocks  |2 georeft 
650 7 |a X-ray data  |2 georeft 
651 7 |a East Pacific  |2 georeft 
651 7 |a Endeavour Ridge  |2 georeft 
651 7 |a Expedition 301  |2 georeft 
651 7 |a IODP Site U1301  |2 georeft 
651 7 |a Juan de Fuca Ridge  |2 georeft 
651 7 |a North Pacific  |2 georeft 
651 7 |a Northeast Pacific  |2 georeft 
651 7 |a Pacific Ocean  |2 georeft 
700 1 |a Yamaguchi, Haruka, 
700 1 |a Ishii, Teruaki, 
700 1 |a Matsuoka, Toshifumi, 
773 0 |t Island Arc  |d Tsukuba : Wiley Blackwell on behalf of Geological Society of Japan, Mar. 2010  |x 1038-4871  |n Island Arc, 19(1), p.105-119. Publisher: Wiley Blackwell on behalf of Geological Society of Japan, Tsukuba, Japan. ISSN: 1038-4871 Publication type: journal article  |g Vol. 19, no. 1  |h illus., incl. 3 plates, 2 tables, sketch map 
856 |u urn:doi: 10.1111/j.1440-1738.2009.00682.x